Record: Yes

Level: Graduate

Language: Chinese

Prerequisite

Computer Science, Machine Learning, Python

Abstract

Natural Language Processing (NLP) is an important research area in Artificial Intelligence. NLP mainly studys how to use computer technology to process linguistic texts. The specific research problems in NLP includes recognition, classification, extraction, transformation and generation of lexical, syntactic, semantic and pragmatic information. This course will introduce the basic concepts and methods in NLP, as well as some classical algorithms and models.

Reference

[1] C. D. Manning, H. Schüte. 1999. Foundations of Statistical Natural Language Processing. The MIT Press.

[2] D. Jurafsky, and J. H. Martin. 2000.Speech and Language Processing, Prentice Hall, 2000（冯志伟，孙乐译，自然语言处理综论, 电子工业出版社）

[3] 冯志伟，自然语言处理的形式模型，中国科学技术大学出版社

[4] 宗成庆，统计自然语言处理(第2版)，清华大学出版社

Syllabus

1. NLP Fundamentals

2. Language Model

3. Lexical Analysis

4. word2vec

5. Seq2seq-Attention

6. Transformers

7. BERT

8. GPT-2 and GPT-3

9. Machine Writing

10. Knowledge Graph

11. Machine Translation

12. NLP Applications

Lecturer Intro

Dr. Haihua Xie receives a Ph.D. in Computer Science at Iowa State University in 2015. Before joining BIMSA in Oct. 2021, Dr. Xie worked in the State Key Lab of Digital Publishing Technology for many years. His research interests include Natural Language Processing and Knowledge Service. He published more than 20 papers and obtained 5 invention patents. In 2018, Dr. Xie was selected in the 13th batch of overseas high-level talents in Beijing and was hornored as a "Beijing Distinguished Expert".

Lecturer Email: haihua.xie@bimsa.cn

TA: Dr. Xiaopei Jiao, jiaoxiaopei@bimsa.cn